PPT-Probabilistic modelling of performance parameters of Carbon Nanotube

transistors Department of Electrical and Computer Engineering By Yaman Sangar Amitesh Narayan Snehal Mhatre Overview Motivation Introduction CMOS vs CNTFETs CNT Technology Challenges Probabilistic model of . Nanotubes. (SWNT) . Nan Zheng. . Solid State II. Instructor: Elbio Dagotto. Spring 2008. Department of Physics . University of Tennessee. nanojunctions. Navarre . statam. Research: . Mauricio . Terrones. In collaboration with rice university. http://www.nature.com/srep/2012/120413/srep00363/pdf/srep00363.pdf. http://www.nature.com/srep/2012/120413/srep00363/pdf/srep00363.pdf. Alfredo D. Bobadilla. An element of the electrical circuit experiences movement or oscillations.. Notice how the electrical current depends on the capacitor displacement.. In the system shown, the electrical behavior depends on mechanical properties.. A . particle is defined as a . small object . that . behaves as a whole unit. with respect to its . transport and . properties. .. Nanoparticles. According . to . diameter. Ultrafine . particles (nanoparticles), 1-100 nm. (goal-oriented). Action. Probabilistic. Outcome. Time 1. Time 2. Goal State. 1. Action. State. Maximize Goal Achievement. Dead End. A1. A2. I. A1. A2. A1. A2. A1. A2. A1. A2. Left Outcomes are more likely. Chapter 1: An Overview of Probabilistic Data Management. 2. Objectives. In this chapter, you will:. Get to know what uncertain data look like. Explore causes of uncertain data in different applications. LAMMPS User’s Workshop . August 9–11, 2011. Sandia National Laboratories. Albuquerque, NM. DISTRIBUTION STATEMENT A Approved for public release; distribution is unlimited.  . Charles F. Cornwell. *Daniel . Casimir. , Prabhakar Misra, Raul Garcia-Sanchez. International Symposium on Molecular Spectroscopy (ISMS). University of Illinois at Urbana-Champaign. June 18, 2014. Outline. History . / Overview of Carbon Nanotubes. Metallic Microstructures . for MEMS. : . Preparation . and . Characterization. Richard Hansen. Micro-electro-mechanical Systems (MEMS). Motivation. CNT-M. CVI Process. CVI Challenges. Materials Properties. Introduction:-. Electronics without silicon is unbelievable, but it will come true with evolution of diamond or carbon chip. . Silicon disadvantages:- . >bulk in size. >slow operating speed. Chapter 3: Probabilistic Query Answering (1). 2. Objectives. In this chapter, you will:. Learn the challenge of probabilistic query answering on uncertain data. Become familiar with the . framework for probabilistic . &. CARBON NANO TUBE. PRESENTED BY:. BOKIL APURV S.. SD 0210. CONTENTS. INTRODUCTION. WHAT IS CARBON NANOTUBES?. TYPES OF CARBON NANOTUBS AND RELATED STRUCTURES. PROPERTIES OF CARBON NANOTUBES. SYNTHESIS OF CARBON NANOTUBES. Andrew Turner 4/25/2015. Abstract. Carbon . nanotubes. are small tubes of carbon fiber that are prized for their electrical, mechanical and thermal properties making them ideal for a variety of applications. CNTs small size and thermal properties make them ideal for future transistor and interconnect production providing a solution to the problem of Moore’s Law. In addition, CNT’s mechanical properties can be tied in with their electrical properties to produce a variety of sensors and related devices.. Nathan Clement. Computational Sciences Laboratory. Brigham Young University. Provo, Utah, USA. Next-Generation Sequencing. Problem Statement . Map next-generation sequence reads with variable nucleotide confidence to .